Abstract: To address the difficulties in 3D fusion of multi-source heterogeneous data and bottlenecks in high-concurrency access within complex low-altitude environments,a Low-Altitude Spatio-Temporal Cube aggregation model (LAST-Cube)based on GeoSOT-3D is proposed.First,a high-precision 3D subdivision framework for near-ground dense obstacle environments was constructed.Algorithms for conservative voxelization of static obstacles and spatio-temporal tube mapping for dynamic flow data were developed to establish a logical normalization mechanism for heterogeneous data.Second,a dual-table storage architecture with dynamic-static separation and a spatio-temporal linearized RowKey considering load balancing were designed,creating a storage-computation integrated retrieval mechanism based on HBase.Experiments demonstrate that the write throughput of the proposed method is approximately 13 times higher than that of PostGIS under a scale of hundreds of millions of trajectories,and it achieves millisecond-level response times for complex 3D collision detection.The proposed model effectively resolves the challenges of efficient organization and computation of low-altitude data,providing robust support for the refined management and control of low-altitude airspace.

Key words: low-altitude economy, GeoSOT-3D, spatio-temporal cube, multi-source heterogeneous data, storage-computation integration